Senior Large Language Models Engineer

7 days ago


Greater Toronto Area, Canada Talent Seed Full time
About Talent Seed

We are a rapidly growing organization in the AI and customer experience space, driven by innovation and a passion for delivering cutting-edge solutions.

Job Overview

Talent Seed is seeking an experienced Senior Large Language Models (LLMs) Engineer to join our team in Riyadh, KSA. As a key member of our AI group, you will be responsible for developing and deploying state-of-the-art AI solutions focused on LLMs.

Key Responsibilities
  • Design, train, and optimize AI models that power our next-generation products
  • Collaborate with the AI Director to develop and deploy AI solutions in production environments
  • Work closely with cross-functional teams to ensure seamless integration of AI models into our products
Requirements

To succeed in this role, you should have:

  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
  • Hands-on experience with LLMs such as GPT, BERT, OpenAI models, or other industry-leading LLMs
  • Proven track record of deploying LLMs in production environments with high performance and scalability
  • Solid background in machine learning, natural language processing (NLP), and deep learning
  • Expertise in programming languages such as Python and frameworks like TensorFlow, PyTorch, and Hugging Face
  • Strong understanding of NLP techniques such as tokenization, transformers, embeddings, and fine-tuning LLMs for various use cases
  • Experience working with cloud platforms (e.g., AWS, GCP, Azure) for large-scale model training and deployment
Preferred Skills
  • Experience with explainable AI (XAI) and ensuring ethical AI practices
  • Familiarity with MLOps and AI model lifecycle management tools such as MLflow or Kubeflow
  • Prior experience deploying AI models in the SaaS industry or customer experience space is a plus
Compensation

The estimated salary for this position is approximately $120,000 - $180,000 per year, depending on experience and qualifications.



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